Optimization Decision of Supplier Selection in Green Procurement under the Mode of Low Carbon Economy
Tóm tắt
Under the background of economic globalization, selecting a path of low-carbon economic development and developing green supply chains are the inevitable choice of realizing the sustainable development for the enterprises. In this paper, we investigate the optimization decision problem of supplier selection in green procurement under the mode of low carbon economy. Concretely, we construct a new evaluation system for green supplier selection by considering commercial criterion and environmental criterion, and then present a decision method with 2-tuple linguistic assessments for green supplier selection. In this proposed decision method, all original decision data are transformed into linguistic 2-tuples, and then a ranking method based on 2-tuple weighted averaging (TWA) operator and 2-tuple ordered weighted averaging (TOWA) operator is presented to rank all alternative suppliers. Moreover, we provide an application decision making example of green supplier selection and compare our method with the method of linguistic 2-tuple Technique for Order Preference by Similarity to an Ideal Solution (LT-TOPSIS) to demonstrate the practicality and effectiveness of our decision method.
Tài liệu tham khảo
X. S. Dou, Low carbon-economy development: China’s pattern and policy selection, Energy Policy 63 (2013) 1013–1020.
C. J. C. Jabbour, A. S. Neto, J. A. G. Junior, M. S. Ribeiro and A. B. L. S. Jabbour, Eco-innovations in more sustainable supply chains for a low carbon economy: a multiple case study of human critical success factors in Brazilian leading companies, International Journal of Production Economics http://dx.doi.0rg/lO.lOl6/j.ijpe. 2014. 11.015.
M. Igarashi, L. D. Boer and A. M. Fet. What is required for greener supplier selection? A literature review and conceptual model development, Journal of Purchasing & Supply Management 19 (2013) 247–263.
K. Govindan, S. Rajendran, J. Sarkis and P. Murugesan, Multi criteria decision making approaches for green supplier evaluation and selection: a literature review, Journal of Cleaner Production (2013) 1–18.
Y. Zhou, F. H. Hao, W. Meng and J. F. Fu, Scenario analysis of energy-based low-carbon development in China, Journal of Environmental Sciences 26(8) (2014) 1631–1640.
S. H. Ma, Y. Lin, and Z. Q. Chen, Supply Chain Management. China Machine Press, Beijing, 2000.
A. Federgruen and N. Yang, Procurement strategies with unreliable suppliers, Operations Research 159 (2011) 1033–1039.
R. Hammami, C. Temponi and Y. Frein, A scenario-based stochastic model for supplier selection in global context with multiple buyers, currency fluctuation uncertainties, and price discounts, European Journal of Operational Research 233 (2014) 159–170.
C.W. Hsu and A. H. Hu, Applying hazardous substance management to supplier selection using analytic network process, Journal of Cleaner Production 17(2) (2009) 255–264.
S. Theißen and S. Spinier, Strategic analysis of manufacturer-supplier partnerships: An ANP model for collaborative C02 reduction management, European Journal of Operational Research 233 (2014) 383–397.
M. Falagario, F. Sciancalepore, N. Costantino and R. Pietroforte, Using a DEA-cross efficiency approach in public procurement tenders, European Journal of Operational Research 218(2) (2012) 523–529.
A. Kumar, V. Jain and S. Kumar, A comprehensive environment friendly approach for supplier selection, Omega 42 (2014) 109–123.
L. Y. Chen and T. C.Wang, Optimizing partners’ choice in IS/IT outsourcing projects: The strategic decision of fuzzy VIKOR, International Journal of Production Economics 120(1) (2009) 233–242.
S. P. Wan, Q. Y. Wang and J. Y. Dong, The extended VIKOR method for multi-attribute group decision making with triangular intuitionistic fuzzy numbers, Knowledge-Based Systems 52 (2013) 65–77.
C. L. Hwang and K. Yoon, Multiple Attribute Decision Making, Springer-Verlag, Berlin, 1981.
H. S. H. Shih, H. J. Shyur and E. S. Lee, An extension of TOPSIS for group decision making, Journal of Mathematical and Computer Modeling 45 (2007) 801–813.
G. W. Wei, Grey relational analysis model for dynamic hybrid multiple attribute decision making, Knowledge-Based Systems 24 (2011) 672–679.
G. W. Wei, Grey relational analysis method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information, Expert Systems with Applications 38 (2011) 4824–4828.
D. E. Aliabadi, A. Kaazemi and B. Pourghannad, A two-level GA to solve an integrated multi-item supplier selection model, Applied Mathematics and Computation 219 (2013) 7600–7615.
J. Y. Chai and J. N. K. Liu, A novel believable rough set approach for supplier selection, Expert Systems with Applications 41 (2014) 92–104.
O. Jadidi, S. Zolfaghari and S. Cavalieri, A new normalized goal programming model for multi-objective problems: a case of supplier selection and order allocation, International Journal of Production Economics 148 (2014) 158–165.
F. Arikan, A fuzzy solution approach for multi objective supplier selection, Expert Systems with Applications 40 (2013) 947–952.
J. A. Ventura, V. A. Valdebenito and B. Golany, A dynamic inventory model with supplier selection in a serial supply chain structure, European Journal of Operational Research 230 (2013) 258–271.
J. Rezaei and M. Davoodi, Multi-objective models for lot-sizing with supplier selection, International Journal of Production Economics 130 (2011) 77–86.
D. Choudhary and R. Shankar, A goal programming model for joint decision making of inventory lot-size, supplier selection and carrier selection, Computers & Industrial Engineering 71 (2014) 1–9.
M. C. Y. Tarn and V. M. R.Tummala, An application of the AHP in vendor selection of a telecommunications system, Omega, 29 (2001) 171–182.
F. T. S. Chan, Performance measurement in a supply chain, The International Journal of Advanced Manufacturing Technology 21 (2003) 534–548.
T. S. Chan and N. Kumar, Global supplier development considering risk factorsusing fuzzy extended AHP-based approach, Omega, 35(4) (2007) 417–431.
X. Y. Deng, Y. Hu, Y. Deng and S. Mahadevan, Supplier selection using AHP methodology extended by D numbers, Expert Systems with Applications 41 (2014) 156–167.
C. T. Chen, Extensions of the TOPSIS for group decisionmaking under fuzzy environment, Fuzzy Sets and Systems 114 (2000) 1–9.
D. Kannan, A. Jabbour and C. Jabbou, Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company, European Journal of Operational Research 233 (2014) 432–447.
S. Önüt, S. S. Kara and E. Işik, Long term supplier selection using a combined fuzzy MCDM approach: a case study for a telecommunication company, Expert Systems with Applications 36(2) (2009) 3887–3895.
A. Zouggari and L. Benyoucef, Simulation based fuzzy TOPSIS approach for group multi-criteria supplier selection problem, Engineering Applications of Artificial Intelligence 25(3) (2011) 507–519.
S. H. Ha and R. Krishnan, A hybrid approach to supplier selection for the maintenance of a competitive supply chain, Expert Systems with Applications 34(2) (2008) 1303–1311.
R. J. Kuo, Y. C. Wang and F. C. Tien, Integration of artificial neural network and MADA methods for green supplier selection, Journal of Cleaner Production 18(12) (2010) 1161–1170.
F. Herrera and L. Martinez, A 2-tuple fuzzy linguistic representation model for computing with words, IEEE Trans on Fuzzy Systems 8(6) (2000) 746–752.
H. M. Zhang, Some interval-valued 2-tuple linguistic aggregation operators and application in multi-attribute group decision making, Applied Mathematical Modelling 37 (2013) 4269–4282.
R. R. Yager, On ordered weighted averaging aggregation operators in multicriteria decision-making. IEEE Transactions on Systems, Man, and Cybernetics 18 (1988) 183–190.
R. R. Yager, Including importances in OWA aggregations using fuzzy systems modeling, IEEE Transactions on Fuzzy Systems 6 (1998) 286–294.
Z. S. Xu, An Overview of methods for determining OWA weights, International Journal of Intelligent Systems 20 (2005) 843–865.
G. W. Wei, Extension of TOPSIS method for 2-tuple linguistic multiple attribute group decision making with incomplete weight information, Knowledge and Information Systems 25(3) (2010) 623–634.
S. P. Wan, 2-tuple linguistic hybrid arithmetic aggregation operators and application to multi-attribute group decision making, Knowledge-Based Systems 45 (2013) 31–40.